Master Thesis Online
Regional Climate Model Emulation Using Diffusion models
Temoschenko, Maxime 
Promotor(s) :
Louppe, Gilles
Date of defense : 8-Sep-2025/9-Sep-2025 • Permalink : http://hdl.handle.net/2268.2/24763
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| Title : | Regional Climate Model Emulation Using Diffusion models |
| Author : | Temoschenko, Maxime
|
| Date of defense : | 8-Sep-2025/9-Sep-2025 |
| Advisor(s) : | Louppe, Gilles
|
| Committee's member(s) : | Huynh-Thu, Vân Anh
Fettweis, Xavier
|
| Language : | English |
| Discipline(s) : | Engineering, computing & technology > Electrical & electronics engineering |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master : ingénieur civil électricien, à finalité spécialisée en "electronic systems and devices" |
| Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[fr] Regional Climate Models (RCMs) are essential for producing high-resolution climate simulations
tailored to specific regions. However, their reliance on discretized physical laws and boundary con
ditions from Global Climate Models (GCMs) limits flexibility for assimilating new observations and
makes long-term simulations computationally expensive, reducing the ability to explore multiple
possible climate states from the same GCM.
This thesis investigates the application of Score-Based Data Assimilation (SDA) ,reyling on
diffusion models, in the context of the Modèle Atmosphérique Régional (MAR) over Belgium. The
problem is framed from a stratistical perspective as an inverse problem.
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